Testing the replication hypothesis: When the data set is subject to gross error
Between the time OLS estimates are computed on N observations and replication is attempted, the data matrix accumulates C rows of gross errors. Fitting the reported OLS estimates to the contaminated data will produce N-C residuals which agree exactly with the original residuals. This fact serves as...
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Published in | Economics letters Vol. 34; no. 1; pp. 49 - 53 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
1990
Elsevier North Holland |
Series | Economics Letters |
Subjects | |
Online Access | Get full text |
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Summary: | Between the time OLS estimates are computed on
N observations and replication is attempted, the data matrix accumulates
C rows of gross errors. Fitting the reported OLS estimates to the contaminated data will produce
N-C residuals which agree exactly with the original residuals. This fact serves as the basis of a test for replication. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 content type line 23 |
ISSN: | 0165-1765 1873-7374 |
DOI: | 10.1016/0165-1765(90)90180-9 |